Evidence map›Paper›PMID 29914506›Full record

ArticleInternational journal of health geographics2018

Use of mobile technology-based participatory mapping approaches to geolocate health facility attendees for disease surveillance in low resource settings.

Kimberly M Fornace, Henry Surendra, Tommy Rowel Abidin, Ralph Reyes, Maria L M Macalinao, Gillian Stresman, Jennifer Luchavez, Riris A Ahmad, Supargiyono Supargiyono, Fe Espino and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of health geographics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 59 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 4 countries.

Kimberly M FornaceDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK. Kimberly.Fornace@lshtm.ac.uk.ORCID 0000-0002-5484-241X
Henry SurendraDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Tommy Rowel AbidinFaculty of Medicine and Health Sciences, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah, Malaysia.
Ralph ReyesDepartment of Parasitology, Research Institute for Tropical Medicine, Research Drive, Alabang, Muntilupa, 1781, Metro Manila, Philippines.
Maria L M MacalinaoDepartment of Parasitology, Research Institute for Tropical Medicine, Research Drive, Alabang, Muntilupa, 1781, Metro Manila, Philippines.
Gillian StresmanDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Jennifer LuchavezDepartment of Parasitology, Research Institute for Tropical Medicine, Research Drive, Alabang, Muntilupa, 1781, Metro Manila, Philippines.
Riris A AhmadCentre for Tropical Medicine, Faculty of Medicine, Universitas Gadjah Mada, Jln, Teknika Utara, Barek, Yogyakarta, 55281, Indonesia.
Supargiyono SupargiyonoCentre for Tropical Medicine, Faculty of Medicine, Universitas Gadjah Mada, Jln, Teknika Utara, Barek, Yogyakarta, 55281, Indonesia.
Fe EspinoDepartment of Parasitology, Research Institute for Tropical Medicine, Research Drive, Alabang, Muntilupa, 1781, Metro Manila, Philippines.
Chris J DrakeleyDepartment of Immunology and Infection, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Jackie CookMRC Tropical Epidemiology Group, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
London School of Hygiene & Tropical Medicine · GBResearch Institute for Tropical Medicine · PHUniversitas Gadjah Mada · IDUniversiti of Malaysia Sabah · MY

Funding

Medical Research Council MR/K012126/1Medical Research Council MR/N019199/1
6 · The paper itself

Abstract

backgroundIdentifying fine-scale spatial patterns of disease is essential for effective disease control and elimination programmes. In low resource areas without formal addresses, novel strategies are needed to locate residences of individuals attending health facilities in order to efficiently map disease patterns. We aimed to assess the use of Android tablet-based applications containing high resolution maps to geolocate individual residences, whilst comparing the functionality, usability and cost of three software packages designed to collect spatial information.

resultsUsing Open Data Kit GeoODK, we designed and piloted an electronic questionnaire for rolling cross sectional surveys of health facility attendees as part of a malaria elimination campaign in two predominantly rural sites in the Rizal, Palawan, the Philippines and Kulon Progo Regency, Yogyakarta, Indonesia. The majority of health workers were able to use the tablets effectively, including locating participant households on electronic maps. For all households sampled (n = 603), health facility workers were able to retrospectively find the participant household using the Global Positioning System (GPS) coordinates and data collected by tablet computers. Median distance between actual house locations and points collected on the tablet was 116 m (IQR 42-368) in Rizal and 493 m (IQR 258-886) in Kulon Progo Regency. Accuracy varied between health facilities and decreased in less populated areas with fewer prominent landmarks.

conclusionsResults demonstrate the utility of this approach to develop real-time high-resolution maps of disease in resource-poor environments. This method provides an attractive approach for quickly obtaining spatial information on individuals presenting at health facilities in resource poor areas where formal addresses are unavailable and internet connectivity is limited. Further research is needed on how to integrate these with other health data management systems and implement in a wider operational context.

Indexed as

Computers, HandheldGeographic Information SystemsGeographic MappingHealth ResourcesHealth FacilitiesHumansIndonesiaPhilippinesRural PopulationTelemedicineElectronic data collectionGeographical information systemsmHealthMobile technologyParticipatory mappingSurveillance

Identifiers

PMID29914506
PMCPMC6006992
OpenAlexW2808471058

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.